Study plan
How to Pass the Oracle Cloud Infrastructure 2026 Data Science Professional Exam
A study plan for the Oracle Cloud Infrastructure 2026 Data Science Professional certification exam, built from the official domain weights instead of a generic template. Focus heavily on hands-on labs involving Notebook Sessions and Model Deployments. Ensure a deep understanding of how IAM policies affect service access and master the use of Conda environments for dependency management.
- 5 domains
- 50 questions
- 90 min
- 68% to pass
certilumStudy in weight order, not topic order
The plan below follows the official blueprint weights, so the order of study is the order that returns the most points.
- 1
Implement end-to-end Machine Learning Lifecycle
45%- Fetching data from Object Storage and Autonomous Database
- Data exploration and preparation with ADS SDK
- Data visualization and profiling
- Training models (scikit-learn, XGBoost, TensorFlow, PyTorch)
- +7 more topics in the blueprint
22 practice questions tagged to this domain.
- 2
Apply MLOps Practices
20%- Data Science Jobs and execution
- Job scaling and autoscaling
- Model and deployment monitoring
- ML Pipelines automation
- +2 more topics in the blueprint
10 practice questions tagged to this domain.
- 3
Design and Set up Data Science Workspace
15%- Notebook session compute shapes and lifecycle
- Managed JupyterLab environment
- Conda environments management
- Storing secrets in OCI Vault
- +2 more topics in the blueprint
8 practice questions tagged to this domain.
- 4
Use related OCI Services
10%- OCI Data Flow (managed Spark)
- OCI Open Data Service
- OCI Data Labeling
- Integration with OCI AI services
5 practice questions tagged to this domain.
- 5
OCI Data Science - Introduction and Configuration
10%- OCI Data Science service overview and architecture
- Projects and Notebook Sessions
- ML Lifecycle (CRISP-DM)
- Tenancy configuration and IAM policies
- +1 more topics in the blueprint
5 practice questions tagged to this domain.
Three phases, in order
Most failures are process failures, not knowledge failures.
Phase 1 — Learn the high-weight domains
Start where the points are. The first domains on this plan carry the most weight, so a gap there costs the most. Cover the objectives, then close each topic with practice questions you actually get wrong.
Phase 2 — Close the mid-weight domains
The middle of the blueprint is where most candidates plateau. These domains are worth less per topic than the first phase, but they add up fast, and they are the usual difference between a near miss and a clear pass.
Phase 3 — Timed full mocks
Stop reading new material at this point. Run full-length exams under the real time limit and the real format, and use the per-domain breakdown to find which domain is still costing you the pass.
Where we put the emphasis
The exam prioritizes the practical application of MLOps and the integration of disparate OCI services into a cohesive machine learning pipeline.
The order matters less than the loop. Every domain you finish should end with questions you got wrong, because the mistake is the only thing you actually needed to study. On the Oracle Cloud Infrastructure 2026 Data Science Professional that loop is worth 20% of the exam in the first block alone.
More about the Oracle Cloud Infrastructure 2026 Data Science Professional exam
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Frequently asked questions
Everything you need to know about the Oracle Cloud Infrastructure 2026 Data Science Professional exam.